31 citations · 50 across the 6 of their papers we have counts for
6 papers
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
Mikaela Angelina Uy, Yen-yu Chang, Minhyuk Sung +4
We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders. Reverse engineering from a raw geometry to a CAD model is an essential…
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels
Purvi Goel, Li Chen
The memorization effect of deep learning hinders its performance to effectively generalize on test set when learning with noisy labels. Prior study has discovered that epistemic un…
ICodeNet -- A Hierarchical Neural Network Approach for Source Code Author Identification
Pranali Bora, Tulika Awalgaonkar, Himanshu Palve +2
With the open-source revolution, source codes are now more easily accessible than ever. This has, however, made it easier for malicious users and institutions to copy the code with…
Shape From Tracing: Towards Reconstructing 3D Object Geometry and SVBRDF Material from Images via Differentiable Path Tracing
Purvi Goel, Loudon Cohen, James Guesman +3
Reconstructing object geometry and material from multiple views typically requires optimization. Differentiable path tracing is an appealing framework as it can reproduce complex a…
Robust Deep Learning with Active Noise Cancellation for Spatial Computing
Li Chen, David Yang, Purvi Goel +1
This paper proposes CANC, a Co-teaching Active Noise Cancellation method, applied in spatial computing to address deep learning trained with extreme noisy labels. Deep learning alg…
Deep Learning for Hindi Text Classification: A Comparison
Ramchandra Joshi, Purvi Goel, Raviraj Joshi
Natural Language Processing (NLP) and especially natural language text analysis have seen great advances in recent times. Usage of deep learning in text processing has revolutioniz…